Products
EVA · Enterprise Visibility & Analytics for Intelligent Operations
EVA AIOps Platform
Multi-tenant AIOps platform for NOC and operations teams: unified ingestion, noise-reducing correlation, anomaly detection, RCA and response orchestration — all in one place, on top of your real operation.
Capabilities
What EVA does in your operation every single day.
It is not one more dashboard. It is the intelligence layer between your monitoring tools and the people who decide what to do.
Correlation and noise reduction
From thousands of loose alerts to a handful of incidents that actually matter.
Anomaly detection + RCA
Spots behavior outside the norm and ranks the most likely root-cause candidates.
Visual orchestration (EOE)
Automates the response to repetitive incidents with flows your team can see and adjust.
Real-time NOC
A single operational view for the whole team, no matter how many monitoring tools sit underneath.
AI engines
Each engine answers a different question about your operation.
And every answer comes with the reasoning behind it — never as a black box.
Z-Score, IQR and EMA
Three complementary algorithms cover the spectrum of real metric distributions: Z-Score catches values far from the historical mean, IQR is robust against skewed distributions with long tails, and EMA captures gradual trends that never cross an absolute threshold but do represent progressive degradation.
Frequent itemsets and association rules
Identifies alert combinations that consistently co-occur, with support (how many times it happened) and confidence (in what percentage of cases A implies B) — so the team can judge how reliable each rule is before acting on it.
WES — Weighted Evidence Scoring
Combines quantitative evidence (alert density, temporal priority, diversity of failure types) with deterministic expert rules. The result is a ranking of root-cause candidates with a certainty score and Feature Importance, which makes the algorithm’s reasoning transparent.
Operational analytics in milliseconds
Answers complex business questions without the operator writing queries: which devices generate 80% of the noise, at what hours critical incidents peak, or how much MTTR has improved. Built on Polars (Rust) and DuckDB, it processes millions of records instantly.
Natural language queries
Lets you ask about the state of the infrastructure in natural language, answering with references to concrete real-time data from the environment — never with generic answers.
Never a black box
Every decision from the intelligence engine is presented alongside the factors that drove it and their relative weight. The operator can always understand why the system reached a conclusion and how confident it is.
Let’s talk about your operation
No generic proposal, no filler slide deck — with your real operation on the table.